Trace-based just-in-time compiler for Haskell with RPython

Trace-based just-in-time compiler for Haskell with RPython

Can Haskell benefit from tracing JIT optimization techniques, and is the RPython translation toolchain suitable for purely functional, lazy languages such as Haskell? RPython has been used to implement VMs for many different programming languages, but not for any purely functional or lazy languages....

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Main Author: Thomassen, Even Wiik
Format: Others
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap 2013
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20779
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spelling ndltd-UPSALLA1-oai-DiVA.org-ntnu-207792013-06-23T04:11:27ZTrace-based just-in-time compiler for Haskell with RPythonengThomassen, Even WiikNorges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskapInstitutt for datateknikk og informasjonsvitenskap2013Can Haskell benefit from tracing JIT optimization techniques, and is the RPython translation toolchain suitable for purely functional, lazy languages such as Haskell? RPython has been used to implement VMs for many different programming languages, but not for any purely functional or lazy languages. Haskell has achieved impressive speed with ahead-of-time optimizations. Attempts at trace-based JIT optimizations of Haskell have so far not achieved greater speed than static compilation. PyHaskell, a prototype Haskell VM with a meta-tracing JIT compiler written in RPython, shows that the RPython toolchain is suitable for Haskell. While the meta-tracer greatly speeds up PyHaskell, it does not yet beat GHC. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20779Local ntnudaim:8175application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
description Can Haskell benefit from tracing JIT optimization techniques, and is the RPython translation toolchain suitable for purely functional, lazy languages such as Haskell? RPython has been used to implement VMs for many different programming languages, but not for any purely functional or lazy languages. Haskell has achieved impressive speed with ahead-of-time optimizations. Attempts at trace-based JIT optimizations of Haskell have so far not achieved greater speed than static compilation. PyHaskell, a prototype Haskell VM with a meta-tracing JIT compiler written in RPython, shows that the RPython toolchain is suitable for Haskell. While the meta-tracer greatly speeds up PyHaskell, it does not yet beat GHC.
author Thomassen, Even Wiik
spellingShingle Thomassen, Even Wiik
Trace-based just-in-time compiler for Haskell with RPython
author_facet Thomassen, Even Wiik
author_sort Thomassen, Even Wiik
title Trace-based just-in-time compiler for Haskell with RPython
title_short Trace-based just-in-time compiler for Haskell with RPython
title_full Trace-based just-in-time compiler for Haskell with RPython
title_fullStr Trace-based just-in-time compiler for Haskell with RPython
title_full_unstemmed Trace-based just-in-time compiler for Haskell with RPython
title_sort trace-based just-in-time compiler for haskell with rpython
publisher Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
publishDate 2013
url http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20779
work_keys_str_mv AT thomassenevenwiik tracebasedjustintimecompilerforhaskellwithrpython
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